Reasoning Web. Learning, Uncertainty, Streaming, and Scalability (Registro nro. 241634)

MARC details
000 -LIDER
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001 - CONTROL NUMBER
control field 978-3-030-00338-8
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210201191259.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180829s2018 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030003388
-- 978-3-030-00338-8
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D3
072 #7 - SUBJECT CATEGORY CODE
Subject category code UN
Source bicssc
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Subject category code COM021000
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Subject category code UN
Source thema
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Subject category code UMT
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.74
Edition number 23
245 10 - TITLE STATEMENT
Title Reasoning Web. Learning, Uncertainty, Streaming, and Scalability
Medium [electronic resource] :
Remainder of title 14th International Summer School 2018, Esch-sur-Alzette, Luxembourg, September 22-26, 2018, Tutorial Lectures /
Statement of responsibility, etc. edited by Claudia d'Amato, Martin Theobald.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 237 p. 47 illus.
Other physical details online resource.
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490 1# - SERIES STATEMENT
Series statement Information Systems and Applications, incl. Internet/Web, and HCI ;
Volume/sequential designation 11078
500 ## - GENERAL NOTE
General note Acceso multiusuario
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Practical Normative Reasoning with Defeasible Deontic Logic -- Efficient SPARQL Queries on Very Large Knowledge Graphs -- A Tutorial on Query Answering and Reasoning over Probabilistic Knowledge Bases -- Cold-start Knowledge Base Population using Ontology-based Information Extraction with Conditional Random Fields -- Machine Learning with and for Knowledge Graphs -- Rule Induction and Reasoning over Knowledge Graphs -- Storing and Querying Semantic Data in the Cloud -- Engineering of Web Stream Processing Applications -- Reasoning at Scale. .
520 ## - SUMMARY, ETC.
Summary, etc. The research areas of Semantic Web, Linked Data, and Knowledge Graphs have recently received a lot of attention in academia and industry. Since its inception in 2001, the Semantic Web has aimed at enriching the existing Web with meta-data and processing methods, so as to provide Web-based systems with intelligent capabilities such as context awareness and decision support. The Semantic Web vision has been driving many community efforts which have invested a lot of resources in developing vocabularies and ontologies for annotating their resources semantically. Besides ontologies, rules have long been a central part of the Semantic Web framework and are available as one of its fundamental representation tools, with logic serving as a unifying foundation. Linked Data is a related research area which studies how one can make RDF data available on the Web and interconnect it with other data with the aim of increasing its value for everybody. Knowledge Graphs have been shown useful not only for Web search (as demonstrated by Google, Bing, etc.) but also in many application domains.
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE
Owner UABC ;
Method of acquisition Temporal ;
Date of acquisition 01/01/2021-12/31/2023.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Database management.
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Término temático o nombre geográfico como elemento de entrada Data mining.
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Término temático o nombre geográfico como elemento de entrada Artificial intelligence.
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Término temático o nombre geográfico como elemento de entrada Application software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Mathematical logic.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Database Management.
-- https://scigraph.springernature.com/ontologies/product-market-codes/I18024
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Término temático o nombre geográfico como elemento de entrada Data Mining and Knowledge Discovery.
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Término temático o nombre geográfico como elemento de entrada Artificial Intelligence.
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Término temático o nombre geográfico como elemento de entrada Mathematical Logic and Formal Languages.
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700 1# - ADDED ENTRY--PERSONAL NAME
Personal name d'Amato, Claudia.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Theobald, Martin.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030003371
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783030003395
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Information Systems and Applications, incl. Internet/Web, and HCI ;
Volume number/sequential designation 11078
856 40 - ELECTRONIC LOCATION AND ACCESS
Public note Libro electrónico
Uniform Resource Identifier http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-030-00338-8
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Koha item type Libro Electrónico
Existencias
Estado de retiro Colección Ubicación permanente Ubicación actual Fecha de ingreso Total Checkouts Date last seen Número de copia Tipo de material
  Colección de Libros Electrónicos Biblioteca Electrónica Biblioteca Electrónica 01/02/2021   01/02/2021 1 Libro Electrónico

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